Identifying sources of media content having a high likelihood of producing on-topic content

Abstract

Methods and systems are provided for identifying on-topic sources of media content. According to one embodiment, candidate seed sites are identified from which current seeds are selected for deep crawling. The current seeds are identified by correlating relevancy scores or key-word search results from multiple search engines; and selecting the current seeds based on on-topic scores of the candidate seeds. Periodically, a topic net associated with the topic area of interest is executed to locate relevant sources of media content by (i) building a graph in which nodes represent pages and edges represent links among pages by performing an iterative 360 crawl starting from the seeds; (ii) assigning initial node graph scores; (iii) computing final node graph scores by performing link analysis; (iv) computing a site graph scores by aggregating and averaging corresponding node graph scores; and (v) configuring sites with the highest site graph scores to be scraped.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of priority to U.S. Provisional Patent Application No. 60 / 969,950 filed on Sep. 5, 2007 and U.S. Provisional Patent Application No. 60 / 866,064 filed on Nov. 15, 2006, both of which are hereby incorporated by reference in their entirety for all purposes.COPYRIGHT NOTICE[0002]Contained herein is material that is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction of the patent disclosure by any person as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all rights to the copyright whatsoever. Copyright© 2006-2007, Collective Intellect, Inc.BACKGROUND[0003]1. Field[0004]Embodiments of the present invention generally relate to filters, ranking mechanisms and / or readers of news, messages, Really Simple Syndication, Rich Site Summary or RDF Site Summary (collectively, RSS) feeds, message board postings, pod casts, inst...

AI Technical Summary

Benefits of technology

[0011]According to one aspect of an embodiment of the present invention, a quality centrality measure may be created for each of the topic areas of interest.

[0012]According to another aspect of an embodiment of the present invention, quality centrality measure may be based upon latent semantic analysis.

[0013]According to one aspect of an embodiment of the present invention, the initial graph scores may be based upon one or more of a topic density score, a maven density score and a relevancy score.

Problems solved by technology

Search engines, such as Google, are adequate for generalized ad hoc searches, but are not very good at keeping the information consumer up to date regarding the best content on a subject from the user's perspective.

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